Instructions to use tawsif18/puma_model_checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use tawsif18/puma_model_checkpoints with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://tawsif18/puma_model_checkpoints") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
This model has 375 files scanned as unsafe.
- 37.9 kB
- 31 Bytes
- 656 MB xet
- 656 MB xet
- 656 MB xet
- 656 MB xet
- 656 MB xet
- 656 MB xet
- 656 MB xet
- 656 MB xet
- 143 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet
- 331 MB xet